An adaptive method of speckle reduction and feature enhancement for SAR images based on curvelet transform and particle swarm optimization

IEEE Transactions on Geoscience and Remote Sensing

Volumn 49, Issue 8, 2011, Pages 3105-3116

  Li, Ying ^a   Gong, Hongli ^a   Feng, Dagan ^b   Zhang, Yanning ^a  

^a NORTHWESTERN POLYTECHNICAL UNIVERSITY   (China)

^b UNIVERSITY OF SYDNEY   (Australia)

Author keywords

Feature enhancement; mirror extended curvelet (ME curvelet) transform; particle swarm optimization (PSO); speckle reduction; synthetic aperture radar (SAR)

Indexed keywords

ADAPTIVE METHODS; CONVERGENCE SPEED; CURVELET COEFFICIENTS; CURVELET TRANSFORMS; CURVELETS; DE-SPECKLING; EDGE FEATURES; FEATURE ENHANCEMENT; GAIN FUNCTION; GLOBAL SEARCH; IMPROVED PARTICLE SWARM OPTIMIZATION; LEARNING SCHEMES; MUTATION OPERATORS; OBJECTIVE CRITERIA; OPTIMAL PARAMETER; PREMATURE CONVERGENCE; PSO ALGORITHMS; SAR IMAGES; SPECKLE NOISE; SPECKLE REDUCTION; SYNTHETIC APERTURE RADAR IMAGES;

ALGORITHMS; CONVERGENCE OF NUMERICAL METHODS; EDGE DETECTION; IMAGING SYSTEMS; MATHEMATICAL OPERATORS; MIRRORS; SPECKLE; SYNTHETIC APERTURE RADAR; SYNTHETIC APERTURES;

PARTICLE SWARM OPTIMIZATION (PSO);

ALGORITHM; CONVERGENCE; CURVATURE; IMAGE PROCESSING; NONLINEARITY; OPTIMIZATION; SPECKLE; SYNTHETIC APERTURE RADAR; TRANSFORM;

EID: 79960923277     PISSN: 01962892     EISSN: None     Source Type: Journal    
DOI: 10.1109/TGRS.2011.2121072     Document Type: Article

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